419130 2 Joaquin Vanschoren 4238 Supervised Classification predictive_accuracy 1192 weka.MultiBoostAB_DecisionStump(3) 2048 weka.classifiers.meta.MultiBoostAB -- -C 3 -P 100 -S 1 -I 40 -W weka.classifiers.trees.DecisionStump C 3 1192 P 100 1192 S 1 1192 I 40 1192 W weka.classifiers.trees.DecisionStump 1192 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 1463860 description https://api.openml.org/data/download/1463860/weka_generated_run382733864793424518.xml -1 1463863 model_readable https://api.openml.org/data/download/1463863/WekaModel_weka.classifiers.meta.MultiBoostAB2071997409621235629.model -1 1463862 model_serialized https://api.openml.org/data/download/1463862/WekaSerialized_weka.classifiers.meta.MultiBoostAB4145667643979718204.model -1 1463861 predictions https://api.openml.org/data/download/1463861/weka_generated_predictions1252084288022037304.arff area_under_roc_curve 0.630885 [0.502711,0.557221,0.577485,0.521397,0.384121,0.602336,0.844527,0.540361,0.515558,0.56097,0.570742,0.525272,0.575493,0.576273,0.570718,0.589426,0.49896,0.574822,0.589571,0.551204] average_cost 0 f_measure 0.202375 [0,0,0,0,0,0.266948,0.772383,0,0,0,0,0,0,0,0,0,0,0,0,0] kappa 0.167426 kb_relative_information_score 2097.626956 mean_absolute_error 0.079467 mean_prior_absolute_error 0.089924 number_of_instances 15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.190441 [0,0,0,0,0,0.154786,0.782256,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.288526 prior_entropy 3.738083 recall 0.288526 [0,0,0,0,0,0.969388,0.762757,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.883707 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.199435 root_relative_squared_error 0.940881 scimark_benchmark 941.954922 [559.2307353210181, 1014.1868590421574, 482.14720472367435, 907.7008274280431, 1746.5089819330503] total_cost 0 usercpu_time_millis 8140 usercpu_time_millis_testing 0 usercpu_time_millis_training 8140 area_under_roc_curve 0.646089 [0.583871,0.587248,0.585526,0.586093,0.583871,0.595588,0.863549,0.586093,0.583871,0.583871,0.589041,0.585526,0.592857,0.587248,0.588435,0.589041,0.583871,0.585526,0.590909,0.415033] area_under_roc_curve 0.629927 [0.600649,0.60473,0.601307,0.602649,0.0,0.613139,0.813932,0.473684,0.600649,0.6,0.546485,0.345395,0.610714,0.603333,0.55274,0.606164,0.6,0.601974,0.608392,0.345395] area_under_roc_curve 0.651517 [0.603896,0.608108,0.605263,0.399338,0.0,0.616788,0.876567,0.60596,0.603896,0.603226,0.549887,0.605263,0.614286,0.607383,0.556164,0.609589,0.603226,0.604575,0.611888,0.434641] area_under_roc_curve 0.64147 [0.594156,0.532095,0.595395,0.492715,0.593548,0.606618,0.851254,0.595395,0.593548,0.593548,0.598639,0.467105,0.604317,0.596667,0.54589,0.599315,0.593548,0.594771,0.601399,0.594771] area_under_roc_curve 0.645669 [0.584416,0.587248,0.584967,0.586093,0.583871,0.594891,0.863549,0.586093,0.583871,0.583871,0.589041,0.585526,0.560516,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.585526] area_under_roc_curve 0.64127 [0.594156,0.597973,0.594771,0.596026,0.0,0.606618,0.851254,0.596026,0.593548,0.593548,0.598639,0.467105,0.56875,0.597315,0.539683,0.599315,0.090323,0.595395,0.601399,0.595395] area_under_roc_curve 0.651185 [0.603896,0.608108,0.605263,0.60596,0.0,0.588971,0.876567,0.605263,0.603226,0.603226,0.549887,0.348684,0.579464,0.607383,0.609589,0.609589,0.603226,0.604575,0.611888,0.605263] area_under_roc_curve 0.641072 [0.594156,0.532095,0.594771,0.492715,0.0,0.606618,0.851254,0.595395,0.594156,0.593548,0.598639,0.595395,0.571308,0.597315,0.598639,0.599315,0.593548,0.594771,0.559441,0.595395] area_under_roc_curve 0.663645 [0.609677,0.548986,0.611111,0.612583,0.0,0.625,0.905979,0.611842,0.61039,0.609677,0.616438,0.611842,0.622302,0.614094,0.497732,0.616438,0.609677,0.611842,0.618881,0.271242] area_under_roc_curve 0.668923 [0.612903,0.552365,0.614379,0.616667,0.0,0.627737,0.920685,0.615132,0.613636,0.612903,0.619048,0.486842,0.59289,0.616667,0.501134,0.619863,0.613636,0.615132,0.622378,0.615132] area_under_roc_curve 0.660498 [0.612903,0.618243,0.615132,0.615894,0.0,0.628676,0.889492,0.486842,0.613636,0.612903,0.619048,0.486842,0.555357,0.61745,0.619048,0.619863,0.612903,0.614379,0.58042,0.486842] area_under_roc_curve 0.637307 [0.587097,0.591216,0.588235,0.589404,0.587097,0.599265,0.840646,0.588816,0.334416,0.587097,0.592466,0.588816,0.597122,0.503333,0.591837,0.591837,0.083871,0.588816,0.594406,0.588816] area_under_roc_curve 0.632541 [0.580645,0.518581,0.581699,0.582781,0.0,0.591241,0.830039,0.582237,0.581169,0.581169,0.585616,0.582237,0.589928,0.583333,0.526077,0.585616,0.580645,0.582237,0.587413,0.582237] area_under_roc_curve 0.628386 [0.587662,0.591216,0.588235,0.589404,0.0,0.570588,0.812043,0.588816,0.587097,0.587662,0.591837,0.588816,0.564113,0.590604,0.53288,0.592466,0.587097,0.588235,0.594406,0.418301] area_under_roc_curve 0.651129 [0.603226,0.607383,0.604575,0.60596,0.603226,0.617647,0.876567,0.60596,0.350649,0.603226,0.608844,0.605263,0.516081,0.607383,0.608844,0.609589,0.603226,0.605263,0.611888,0.434641] area_under_roc_curve 0.678184 [0.61039,0.614094,0.611111,0.612583,0.0,0.596324,0.943587,0.483553,0.61039,0.609677,0.615646,0.483553,0.622302,0.614094,0.615646,0.616438,0.609677,0.611842,0.618881,0.611842] area_under_roc_curve 0.640135 [0.581169,0.584459,0.582237,0.582781,0.0,0.591912,0.848843,0.47947,0.580645,0.580645,0.585034,0.582237,0.589286,0.583893,0.585034,0.585616,0.580645,0.581699,0.587413,0.582237] area_under_roc_curve 0.636946 [0.334416,0.591216,0.588235,0.589404,0.0,0.570588,0.840646,0.588816,0.587097,0.587097,0.591837,0.588816,0.597122,0.590604,0.591837,0.592466,0.587097,0.588816,0.594406,0.460526] area_under_roc_curve 0.61792 [0.580645,0.584459,0.582237,0.47947,0.0,0.591912,0.79243,0.47947,0.581169,0.580645,0.585034,0.453947,0.589928,0.583333,0.526077,0.585616,0.580645,0.582237,0.587413,0.581699] area_under_roc_curve 0.628453 [0.321429,0.577703,0.575163,0.576667,0.0,0.584559,0.819431,0.575658,0.574675,0.574194,0.578231,0.575658,0.582734,0.576667,0.578231,0.578767,0.574675,0.575163,0.58042,0.575163] area_under_roc_curve 0.647511 [0.596774,0.601351,0.598039,0.496026,0.0,0.610294,0.865959,0.598684,0.344156,0.597403,0.602041,0.598684,0.607914,0.6,0.543084,0.60274,0.344156,0.598039,0.604895,0.598684] area_under_roc_curve 0.656159 [0.593548,0.597973,0.595395,0.492715,0.593548,0.606618,0.888862,0.595395,0.594156,0.593548,0.598639,0.595395,0.604317,0.596667,0.598639,0.598639,0.593548,0.595395,0.559441,0.595395] area_under_roc_curve 0.632147 [0.596774,0.535473,0.598039,0.496026,0.0,0.581618,0.828351,0.598684,0.597403,0.596774,0.602041,0.470395,0.607914,0.513333,0.543084,0.60274,0.597403,0.598684,0.604895,0.598684] area_under_roc_curve 0.605439 [0.087097,0.594595,0.591503,0.489404,0.0,0.574265,0.761331,0.463816,0.337662,0.590323,0.595238,0.463816,0.567711,0.59396,0.595238,0.59589,0.590323,0.592105,0.555944,0.592105] area_under_roc_curve 0.626336 [0.090323,0.597315,0.594771,0.492715,0.593548,0.577941,0.813645,0.596026,0.594156,0.593548,0.598639,0.338816,0.604317,0.597315,0.598639,0.599315,0.593548,0.595395,0.559441,0.594771] area_under_roc_curve 0.648707 [0.340909,0.597315,0.595395,0.51,0.0,0.606618,0.870058,0.595395,0.594156,0.593548,0.598639,0.595395,0.571308,0.597315,0.598639,0.598639,0.593548,0.595395,0.601399,0.594771] area_under_roc_curve 0.678091 [0.61039,0.614865,0.611111,0.509272,0.0,0.624088,0.943587,0.612583,0.357143,0.609677,0.615646,0.611842,0.589293,0.614094,0.615646,0.615646,0.609677,0.611842,0.618881,0.611842] area_under_roc_curve 0.64157 [0.594156,0.597973,0.594771,0.596667,0.0,0.606618,0.851254,0.595395,0.593548,0.593548,0.598639,0.467105,0.604317,0.597315,0.480726,0.599315,0.090323,0.595395,0.601399,0.594771] area_under_roc_curve 0.665149 [0.619355,0.625,0.621711,0.622517,0.0,0.578676,0.912488,0.622517,0.62013,0.619355,0.566893,0.621711,0.600085,0.623333,0.507937,0.626712,0.619355,0.621711,0.587413,0.620915] area_under_roc_curve 0.637652 [0.600649,0.60473,0.601974,0.499338,0.0,0.585294,0.843057,0.601974,0.600649,0.6,0.546485,0.473684,0.578502,0.603333,0.605442,0.606164,0.600649,0.601307,0.566434,0.601307] area_under_roc_curve 0.640144 [0.580645,0.518581,0.581699,0.583333,0.0,0.591912,0.848843,0.582237,0.581169,0.580645,0.585034,0.582237,0.589928,0.583333,0.585616,0.585034,0.581169,0.581699,0.587413,0.582237] area_under_roc_curve 0.6687 [0.612903,0.542665,0.615132,0.53,0.612903,0.6,0.920685,0.615132,0.613636,0.612903,0.619048,0.615132,0.59289,0.616667,0.560091,0.619048,0.612903,0.615132,0.622378,0.615132] area_under_roc_curve 0.64864 [0.593548,0.597973,0.594771,0.596026,0.0,0.606618,0.870058,0.467105,0.594156,0.593548,0.598639,0.595395,0.571308,0.596667,0.539683,0.599315,0.594156,0.595395,0.601399,0.595395] area_under_roc_curve 0.669671 [0.596774,0.601351,0.598039,0.599338,0.0,0.610294,0.922372,0.598684,0.597403,0.596774,0.602041,0.598684,0.607914,0.600671,0.543084,0.60274,0.596774,0.598684,0.604895,0.598684] area_under_roc_curve 0.657082 [0.606452,0.545608,0.608553,0.609272,0.0,0.592647,0.891273,0.608553,0.607143,0.606452,0.612245,0.608553,0.585696,0.61,0.559589,0.613014,0.606452,0.608553,0.615385,0.437908] area_under_roc_curve 0.645308 [0.584416,0.587248,0.585526,0.5,0.0,0.594891,0.853011,0.585526,0.584416,0.583871,0.588435,0.585526,0.593525,0.587248,0.588435,0.588435,0.583871,0.585526,0.590909,0.584967] area_under_roc_curve 0.637516 [0.347403,0.60473,0.601307,0.602649,0.0,0.613139,0.843057,0.602649,0.600649,0.6,0.605442,0.601974,0.545493,0.604027,0.487528,0.605442,0.6,0.601974,0.566434,0.601974] area_under_roc_curve 0.652542 [0.600649,0.529243,0.601974,0.603333,0.0,0.585294,0.880665,0.602649,0.600649,0.6,0.605442,0.601974,0.578502,0.603333,0.546485,0.605442,0.6,0.601974,0.608392,0.601307] area_under_roc_curve 0.642808 [0.590909,0.594595,0.592105,0.592715,0.0,0.602941,0.855352,0.592715,0.590909,0.590323,0.536281,0.592105,0.567711,0.593333,0.595238,0.59589,0.087097,0.591503,0.597902,0.591503] area_under_roc_curve 0.627743 [0.590909,0.594595,0.592105,0.592715,0.0,0.602941,0.817743,0.592105,0.590909,0.590323,0.595238,0.463816,0.534702,0.593333,0.542466,0.59589,0.087097,0.591503,0.597902,0.591503] area_under_roc_curve 0.615989 [0.583871,0.587838,0.584967,0.413333,0.0,0.595588,0.788332,0.585526,0.584416,0.583871,0.588435,0.585526,0.560516,0.5,0.529478,0.588435,0.584416,0.585526,0.590909,0.585526] area_under_roc_curve 0.663432 [0.593548,0.597315,0.595395,0.596667,0.593548,0.577941,0.907666,0.596026,0.594156,0.593548,0.598639,0.595395,0.604317,0.596667,0.598639,0.599315,0.593548,0.594771,0.601399,0.594771] area_under_roc_curve 0.663818 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area_under_roc_curve 0.650967 [0.603896,0.607383,0.605263,0.606667,0.0,0.588971,0.876567,0.60596,0.603896,0.603226,0.49093,0.605263,0.582099,0.52,0.608844,0.608844,0.603226,0.605263,0.611888,0.604575] area_under_roc_curve 0.637036 [0.587662,0.525338,0.588235,0.486093,0.0,0.599265,0.840646,0.589404,0.587097,0.587662,0.591837,0.588816,0.597122,0.59,0.53288,0.592466,0.587097,0.588235,0.594406,0.588816] area_under_roc_curve 0.617136 [0.457792,0.521959,0.542763,0.611921,0.0,0.6625,0.766393,0.200658,0.709677,0.457792,0.544218,0.585526,0.53576,0.543333,0.750567,0.455479,0.793548,0.414474,0.65035,0.797386] area_under_roc_curve 0.654531 [0.597403,0.535473,0.598039,0.6,0.0,0.610294,0.884764,0.598684,0.597403,0.596774,0.602041,0.470395,0.574905,0.6,0.602041,0.602041,0.596774,0.598684,0.604895,0.598684] area_under_roc_curve 0.663044 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kappa 0.159272 kappa 0.162657 kappa 0.194635 kappa 0.175396 kappa 0.197346 kappa 0.180688 kappa 0.166253 kappa 0.164299 kappa 0.174285 kappa 0.168459 kappa 0.153477 kappa 0.139651 kappa 0.182893 kappa 0.190389 kappa 0.179811 kappa 0.154045 kappa 0.166691 kappa 0.161922 kappa 0.173729 kappa 0.161532 kappa 0.15515 kappa 0.182343 kappa 0.195178 kappa 0.146559 kappa 0.179811 kappa 0.182343 kappa 0.164299 kappa 0.158166 kappa 0.1679 kappa 0.145985 kappa 0.160968 kappa 0.179811 kappa 0.153477 kappa 0.208619 kappa 0.14437 kappa 0.166217 kappa 0.156837 kappa 0.1679 kappa 0.167286 kappa 0.174721 kappa 0.187657 kappa 0.165496 kappa 0.145592 kappa 0.169576 kappa 0.18493 kappa 0.171166 kappa 0.165655 kappa 0.139073 kappa 0.164978 kappa 0.158046 kappa 0.151365 kappa 0.177452 kappa 0.158648 kappa 0.150595 kappa 0.169018 kappa 0.161051 kappa 0.169018 kappa 0.173729 kappa 0.164299 kappa 0.169129 kappa 0.144981 kappa 0.149986 kappa 0.165496 kappa 0.137688 kappa 0.203238 kappa 0.147541 kappa 0.160968 kappa 0.153477 kappa 0.1423 kappa 0.178633 kappa 0.1861 kb_relative_information_score 20.920259 kb_relative_information_score 19.9944 kb_relative_information_score 21.82996 kb_relative_information_score 20.808067 kb_relative_information_score 20.808247 kb_relative_information_score 20.764564 kb_relative_information_score 21.76812 kb_relative_information_score 20.709357 kb_relative_information_score 23.003917 kb_relative_information_score 23.476519 kb_relative_information_score 22.822115 kb_relative_information_score 20.228868 kb_relative_information_score 19.705142 kb_relative_information_score 19.435931 kb_relative_information_score 21.781986 kb_relative_information_score 24.138845 kb_relative_information_score 20.328889 kb_relative_information_score 20.280157 kb_relative_information_score 18.623081 kb_relative_information_score 19.15883 kb_relative_information_score 21.356328 kb_relative_information_score 21.94587 kb_relative_information_score 20.087142 kb_relative_information_score 17.729001 kb_relative_information_score 19.544318 kb_relative_information_score 21.39505 kb_relative_information_score 24.123869 kb_relative_information_score 20.795538 kb_relative_information_score 23.341145 kb_relative_information_score 20.559817 kb_relative_information_score 20.211976 kb_relative_information_score 23.460177 kb_relative_information_score 21.312995 kb_relative_information_score 23.154547 kb_relative_information_score 22.387503 kb_relative_information_score 20.793454 kb_relative_information_score 20.592452 kb_relative_information_score 21.758584 kb_relative_information_score 20.74113 kb_relative_information_score 19.554995 kb_relative_information_score 18.387013 kb_relative_information_score 22.478356 kb_relative_information_score 22.521826 kb_relative_information_score 21.913557 kb_relative_information_score 19.670159 kb_relative_information_score 20.741756 kb_relative_information_score 20.862679 kb_relative_information_score 21.65086 kb_relative_information_score 20.201977 kb_relative_information_score 19.860851 kb_relative_information_score 21.869412 kb_relative_information_score 22.968432 kb_relative_information_score 19.613172 kb_relative_information_score 21.899551 kb_relative_information_score 21.963545 kb_relative_information_score 21.279976 kb_relative_information_score 20.111482 kb_relative_information_score 20.792959 kb_relative_information_score 19.540787 kb_relative_information_score 20.181394 kb_relative_information_score 22.41788 kb_relative_information_score 19.488807 kb_relative_information_score 24.009238 kb_relative_information_score 19.580901 kb_relative_information_score 21.040844 kb_relative_information_score 19.878909 kb_relative_information_score 20.75004 kb_relative_information_score 20.857792 kb_relative_information_score 21.335981 kb_relative_information_score 22.930153 kb_relative_information_score 20.813377 kb_relative_information_score 19.65591 kb_relative_information_score 20.801613 kb_relative_information_score 22.341174 kb_relative_information_score 21.181868 kb_relative_information_score 21.062028 kb_relative_information_score 18.449562 kb_relative_information_score 20.631562 kb_relative_information_score 19.936223 kb_relative_information_score 20.08083 kb_relative_information_score 22.328874 kb_relative_information_score 20.175294 kb_relative_information_score 19.424631 kb_relative_information_score 20.690518 kb_relative_information_score 20.24598 kb_relative_information_score 20.83289 kb_relative_information_score 21.709865 kb_relative_information_score 20.695249 kb_relative_information_score 20.752382 kb_relative_information_score 19.063798 kb_relative_information_score 20.034757 kb_relative_information_score 20.689448 kb_relative_information_score 20.259501 kb_relative_information_score 23.517693 kb_relative_information_score 20.821985 kb_relative_information_score 20.190847 kb_relative_information_score 20.162068 kb_relative_information_score 20.498658 kb_relative_information_score 21.848749 kb_relative_information_score 22.496187 mean_absolute_error 0.079351 mean_absolute_error 0.079766 mean_absolute_error 0.078305 mean_absolute_error 0.079229 mean_absolute_error 0.079453 mean_absolute_error 0.079309 mean_absolute_error 0.07833 mean_absolute_error 0.079317 mean_absolute_error 0.077165 mean_absolute_error 0.076814 mean_absolute_error 0.077277 mean_absolute_error 0.079775 mean_absolute_error 0.080376 mean_absolute_error 0.080347 mean_absolute_error 0.078338 mean_absolute_error 0.076323 mean_absolute_error 0.079862 mean_absolute_error 0.079802 mean_absolute_error 0.081269 mean_absolute_error 0.08083 mean_absolute_error 0.078727 mean_absolute_error 0.07836 mean_absolute_error 0.079778 mean_absolute_error 0.081822 mean_absolute_error 0.08029 mean_absolute_error 0.078819 mean_absolute_error 0.076378 mean_absolute_error 0.079215 mean_absolute_error 0.076842 mean_absolute_error 0.079348 mean_absolute_error 0.079841 mean_absolute_error 0.076846 mean_absolute_error 0.078819 mean_absolute_error 0.07732 mean_absolute_error 0.077778 mean_absolute_error 0.079396 mean_absolute_error 0.079411 mean_absolute_error 0.078393 mean_absolute_error 0.079322 mean_absolute_error 0.0803 mean_absolute_error 0.081352 mean_absolute_error 0.077906 mean_absolute_error 0.077836 mean_absolute_error 0.078333 mean_absolute_error 0.080265 mean_absolute_error 0.079417 mean_absolute_error 0.085265 mean_absolute_error 0.078398 mean_absolute_error 0.079791 mean_absolute_error 0.085465 mean_absolute_error 0.07833 mean_absolute_error 0.077272 mean_absolute_error 0.080337 mean_absolute_error 0.078374 mean_absolute_error 0.07827 mean_absolute_error 0.078821 mean_absolute_error 0.079847 mean_absolute_error 0.07931 mean_absolute_error 0.080313 mean_absolute_error 0.07975 mean_absolute_error 0.077945 mean_absolute_error 0.080306 mean_absolute_error 0.076264 mean_absolute_error 0.080406 mean_absolute_error 0.07888 mean_absolute_error 0.079882 mean_absolute_error 0.079288 mean_absolute_error 0.079395 mean_absolute_error 0.079034 mean_absolute_error 0.077303 mean_absolute_error 0.079345 mean_absolute_error 0.080422 mean_absolute_error 0.079399 mean_absolute_error 0.077829 mean_absolute_error 0.078854 mean_absolute_error 0.078841 mean_absolute_error 0.081302 mean_absolute_error 0.079423 mean_absolute_error 0.080042 mean_absolute_error 0.07999 mean_absolute_error 0.077835 mean_absolute_error 0.07987 mean_absolute_error 0.08042 mean_absolute_error 0.079489 mean_absolute_error 0.079964 mean_absolute_error 0.079318 mean_absolute_error 0.078301 mean_absolute_error 0.079298 mean_absolute_error 0.085392 mean_absolute_error 0.080938 mean_absolute_error 0.079908 mean_absolute_error 0.079417 mean_absolute_error 0.085662 mean_absolute_error 0.076879 mean_absolute_error 0.085563 mean_absolute_error 0.079805 mean_absolute_error 0.079846 mean_absolute_error 0.085541 mean_absolute_error 0.078314 mean_absolute_error 0.077847 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089868 mean_prior_absolute_error 0.089978 mean_prior_absolute_error 0.08988 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.08991 mean_prior_absolute_error 0.089884 mean_prior_absolute_error 0.089853 mean_prior_absolute_error 0.089954 mean_prior_absolute_error 0.089807 mean_prior_absolute_error 0.089902 mean_prior_absolute_error 0.08994 mean_prior_absolute_error 0.089763 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.0899 mean_prior_absolute_error 0.089929 mean_prior_absolute_error 0.089877 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089869 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089906 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089935 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089866 mean_prior_absolute_error 0.08986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089905 mean_prior_absolute_error 0.089933 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089896 mean_prior_absolute_error 0.089899 mean_prior_absolute_error 0.089913 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089909 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089859 mean_prior_absolute_error 0.089931 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089889 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089953 mean_prior_absolute_error 0.089951 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089964 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089947 mean_prior_absolute_error 0.089919 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089893 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089904 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089867 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089958 mean_prior_absolute_error 0.089984 mean_prior_absolute_error 0.09001 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.090015 mean_prior_absolute_error 0.089968 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.090001 mean_prior_absolute_error 0.089938 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089963 mean_prior_absolute_error 0.089838 mean_prior_absolute_error 0.090012 number_of_instances 156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4] number_of_instances 156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3] number_of_instances 156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3] number_of_instances 156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4] number_of_instances 156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4] precision 0.22929 [0,0,0,0,0,0.153846,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19221 [0,0,0,0,0,0.152,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202556 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.227367 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206915 [0,0,0,0,0,0.163934,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205938 [0,0,0,0,0,0.157025,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.207088 [0,0,0,0,0,0.165289,0.828571,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213609 [0,0,0,0,0,0.155039,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.218178 [0,0,0,0,0,0.145038,0.92,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.210004 [0,0,0,0,0,0.147287,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204572 [0,0,0,0,0,0.16129,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.218684 [0,0,0,0,0,0.155738,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.228804 [0,0,0,0,0,0.152672,0.96,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.212615 [0,0,0,0,0,0.147287,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20265 [0,0,0,0,0,0.152672,0.84,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.227752 [0,0,0,0,0,0.150376,0.956522,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209239 [0,0,0,0,0,0.15873,0.866667,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.223108 [0,0,0,0,0,0.15748,0.931034,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.193691 [0,0,0,0,0,0.150794,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.174708 [0,0,0,0,0,0.148438,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.192036 [0,0,0,0,0,0.149606,0.793103,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.215592 [0,0,0,0,0,0.15748,0.896552,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.217686 [0,0,0,0,0,0.155738,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196108 [0,0,0,0,0,0.151261,0.810811,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.195252 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.228804 [0,0,0,0,0,0.152672,0.96,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206945 [0,0,0,0,0,0.157025,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.215592 [0,0,0,0,0,0.15748,0.896552,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.231034 [0,0,0,0,0,0.15873,0.966667,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.20473 [0,0,0,0,0,0.154472,0.848485,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.233531 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194278 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209313 [0,0,0,0,0,0.152,0.870968,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.214629 [0,0,0,0,0,0.15625,0.892857,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199061 [0,0,0,0,0,0.15625,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.195759 [0,0,0,0,0,0.153846,0.807692,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.229614 [0,0,0,0,0,0.149606,0.965517,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.230623 [0,0,0,0,0,0.15748,0.965517,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.21452 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205537 [0,0,0,0,0,0.155039,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.219743 [0,0,0,0,0,0.147287,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.107177 [0,0,0,0,0,0.271186,0.340206,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.213609 [0,0,0,0,0,0.155039,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.109045 [0,0,0,0,0,0.215385,0.373626,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216504 [0,0,0,0,0,0.15873,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206915 [0,0,0,0,0,0.163934,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204543 [0,0,0,0,0,0.147287,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.21452 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.216504 [0,0,0,0,0,0.15873,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.200334 [0,0,0,0,0,0.144,0.83871,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.217369 [0,0,0,0,0,0.147287,0.888889,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.19806 [0,0,0,0,0,0.148438,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206845 [0,0,0,0,0,0.15625,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.220818 [0,0,0,0,0,0.142857,0.933333,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.199061 [0,0,0,0,0,0.15625,0.821429,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204153 [0,0,0,0,0,0.168067,0.837838,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202655 [0,0,0,0,0,0.139535,0.851852,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.196728 [0,0,0,0,0,0.153226,0.8125,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.187247 [0,0,0,0,0,0.152,0.774194,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.208077 [0,0,0,0,0,0.15748,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.227367 [0,0,0,0,0,0.146154,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.23575 [0,0,0,0,0,0.146154,1,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205864 [0,0,0,0,0,0.155738,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206108 [0,0,0,0,0,0.149606,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.217248 [0,0,0,0,0,0.137405,0.92,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.22929 [0,0,0,0,0,0.153846,0.961538,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198455 [0,0,0,0,0,0.155738,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.21281 [0,0,0,0,0,0.150794,0.866667,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.191521 [0,0,0,0,0,0.154472,0.787879,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.189392 [0,0,0,0,0,0.155039,0.777778,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.218399 [0,0,0,0,0,0.148438,0.892857,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.198593 [0,0,0,0,0,0.149606,0.827586,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.223964 [0,0,0,0,0,0.138462,0.923077,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.197457 [0,0,0,0,0,0.147541,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.204892 [0,0,0,0,0,0.148438,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.191077 [0,0,0,0,0,0.149606,0.793103,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.221681 [0,0,0,0,0,0.155039,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.23548 [0,0,0,0,0,0.143939,1,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.221681 [0,0,0,0,0,0.155039,0.925926,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.203539 [0,0,0,0,0,0.153226,0.84375,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.194278 [0,0,0,0,0,0.152,0.806452,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.109213 [0,0,0,0,0,0.275862,0.346939,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.202219 [0,0,0,0,0,0.146154,0.846154,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.191758 [0,0,0,0,0,0.142857,0.8,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206108 [0,0,0,0,0,0.149606,0.862069,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.105216 [0,0,0,0,0,0.203125,0.358696,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.218982 [0,0,0,0,0,0.162602,0.909091,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.103959 [0,0,0,0,0,0.213115,0.357895,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.206845 [0,0,0,0,0,0.15625,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.205844 [0,0,0,0,0,0.148438,0.857143,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.103917 [0,0,0,0,0,0.184615,0.373626,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.220289 [0,0,0,0,0,0.150794,0.9,0,0,0,0,0,0,0,0,0,0,0,0,0] precision 0.209367 [0,0,0,0,0,0.153226,0.875,0,0,0,0,0,0,0,0,0,0,0,0,0] predictive_accuracy 0.288462 predictive_accuracy 0.275641 predictive_accuracy 0.294872 predictive_accuracy 0.288462 predictive_accuracy 0.282051 predictive_accuracy 0.288462 predictive_accuracy 0.294872 predictive_accuracy 0.288462 predictive_accuracy 0.314103 predictive_accuracy 0.314103 predictive_accuracy 0.314103 predictive_accuracy 0.282051 predictive_accuracy 0.269231 predictive_accuracy 0.269231 predictive_accuracy 0.301282 predictive_accuracy 0.320513 predictive_accuracy 0.282051 predictive_accuracy 0.275641 predictive_accuracy 0.262821 predictive_accuracy 0.269231 predictive_accuracy 0.294872 predictive_accuracy 0.301282 predictive_accuracy 0.275641 predictive_accuracy 0.25 predictive_accuracy 0.269231 predictive_accuracy 0.294872 predictive_accuracy 0.320513 predictive_accuracy 0.288462 predictive_accuracy 0.307692 predictive_accuracy 0.282051 predictive_accuracy 0.282051 predictive_accuracy 0.314103 predictive_accuracy 0.294872 predictive_accuracy 0.314103 predictive_accuracy 0.301282 predictive_accuracy 0.282051 predictive_accuracy 0.282051 predictive_accuracy 0.294872 predictive_accuracy 0.288462 predictive_accuracy 0.275641 predictive_accuracy 0.262821 predictive_accuracy 0.301282 predictive_accuracy 0.307692 predictive_accuracy 0.294872 predictive_accuracy 0.275641 predictive_accuracy 0.282051 predictive_accuracy 0.314103 predictive_accuracy 0.294872 predictive_accuracy 0.282051 predictive_accuracy 0.307692 predictive_accuracy 0.301282 predictive_accuracy 0.314103 predictive_accuracy 0.269231 predictive_accuracy 0.294872 predictive_accuracy 0.301282 predictive_accuracy 0.282051 predictive_accuracy 0.275641 predictive_accuracy 0.288462 predictive_accuracy 0.269231 predictive_accuracy 0.282051 predictive_accuracy 0.294872 predictive_accuracy 0.275641 predictive_accuracy 0.326923 predictive_accuracy 0.262821 predictive_accuracy 0.288462 predictive_accuracy 0.275641 predictive_accuracy 0.288462 predictive_accuracy 0.282051 predictive_accuracy 0.288462 predictive_accuracy 0.307692 predictive_accuracy 0.282051 predictive_accuracy 0.262821 predictive_accuracy 0.288462 predictive_accuracy 0.301282 predictive_accuracy 0.288462 predictive_accuracy 0.288462 predictive_accuracy 0.262821 predictive_accuracy 0.282051 predictive_accuracy 0.275641 predictive_accuracy 0.269231 predictive_accuracy 0.294872 predictive_accuracy 0.275641 predictive_accuracy 0.269231 predictive_accuracy 0.288462 predictive_accuracy 0.275641 predictive_accuracy 0.288462 predictive_accuracy 0.294872 predictive_accuracy 0.282051 predictive_accuracy 0.320513 predictive_accuracy 0.262821 predictive_accuracy 0.269231 predictive_accuracy 0.282051 predictive_accuracy 0.294872 predictive_accuracy 0.320513 predictive_accuracy 0.301282 predictive_accuracy 0.282051 predictive_accuracy 0.275641 predictive_accuracy 0.294872 predictive_accuracy 0.294872 predictive_accuracy 0.301282 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,1,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,1,0.828571,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.95,0.657143,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.320513 [0,0,0,0,0,0.95,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,1,0.647059,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.25 [0,0,0,0,0,0.95,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.320513 [0,0,0,0,0,1,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.307692 [0,0,0,0,0,0.9,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,0.95,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,0.95,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,0.95,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,0.95,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.307692 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,0.842105,0.970588,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.307692 [0,0,0,0,0,0.7,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.314103 [0,0,0,0,0,1,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,0.947368,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.95,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.947368,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.326923 [0,0,0,0,0,1,0.911765,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,0.947368,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,0.95,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.307692 [0,0,0,0,0,0.95,0.852941,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,0.947368,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.742857,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,0.95,0.764706,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,1,0.617647,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.714286,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.947368,0.685714,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.947368,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,1,0.676471,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.288462 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.95,0.794118,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.320513 [0,0,0,0,0,0.842105,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.262821 [0,0,0,0,0,1,0.647059,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.269231 [0,0,0,0,0,0.947368,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.735294,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.684211,0.942857,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.320513 [0,0,0,0,0,1,0.882353,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,0.684211,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.282051 [0,0,0,0,0,1,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.275641 [0,0,0,0,0,0.95,0.705882,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,0.631579,1,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.294872 [0,0,0,0,0,1,0.771429,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.301282 [0,0,0,0,0,1,0.823529,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.882411 relative_absolute_error 0.887586 relative_absolute_error 0.870263 relative_absolute_error 0.881504 relative_absolute_error 0.883114 relative_absolute_error 0.88193 relative_absolute_error 0.871212 relative_absolute_error 0.882437 relative_absolute_error 0.858793 relative_absolute_error 0.853929 relative_absolute_error 0.860479 relative_absolute_error 0.88735 relative_absolute_error 0.893663 relative_absolute_error 0.895096 relative_absolute_error 0.871383 relative_absolute_error 0.848976 relative_absolute_error 0.888056 relative_absolute_error 0.887905 relative_absolute_error 0.904141 relative_absolute_error 0.899135 relative_absolute_error 0.875653 relative_absolute_error 0.87138 relative_absolute_error 0.88744 relative_absolute_error 0.910394 relative_absolute_error 0.8931 relative_absolute_error 0.876556 relative_absolute_error 0.848927 relative_absolute_error 0.881454 relative_absolute_error 0.854893 relative_absolute_error 0.88256 relative_absolute_error 0.888183 relative_absolute_error 0.854463 relative_absolute_error 0.876772 relative_absolute_error 0.860298 relative_absolute_error 0.865495 relative_absolute_error 0.883553 relative_absolute_error 0.882637 relative_absolute_error 0.87174 relative_absolute_error 0.882397 relative_absolute_error 0.893472 relative_absolute_error 0.904776 relative_absolute_error 0.866525 relative_absolute_error 0.865749 relative_absolute_error 0.871012 relative_absolute_error 0.893016 relative_absolute_error 0.882551 relative_absolute_error 0.947703 relative_absolute_error 0.871797 relative_absolute_error 0.887599 relative_absolute_error 0.950676 relative_absolute_error 0.871176 relative_absolute_error 0.859593 relative_absolute_error 0.893541 relative_absolute_error 0.871531 relative_absolute_error 0.870818 relative_absolute_error 0.876113 relative_absolute_error 0.888588 relative_absolute_error 0.881902 relative_absolute_error 0.893569 relative_absolute_error 0.887211 relative_absolute_error 0.866393 relative_absolute_error 0.893366 relative_absolute_error 0.848347 relative_absolute_error 0.893697 relative_absolute_error 0.876906 relative_absolute_error 0.888063 relative_absolute_error 0.881783 relative_absolute_error 0.882519 relative_absolute_error 0.877584 relative_absolute_error 0.859636 relative_absolute_error 0.88187 relative_absolute_error 0.894101 relative_absolute_error 0.883004 relative_absolute_error 0.86465 relative_absolute_error 0.877195 relative_absolute_error 0.877016 relative_absolute_error 0.904188 relative_absolute_error 0.883423 relative_absolute_error 0.888781 relative_absolute_error 0.890092 relative_absolute_error 0.865088 relative_absolute_error 0.887861 relative_absolute_error 0.89371 relative_absolute_error 0.883111 relative_absolute_error 0.888529 relative_absolute_error 0.882322 relative_absolute_error 0.8708 relative_absolute_error 0.881153 relative_absolute_error 0.948837 relative_absolute_error 0.899168 relative_absolute_error 0.888178 relative_absolute_error 0.88229 relative_absolute_error 0.95271 relative_absolute_error 0.854267 relative_absolute_error 0.950687 relative_absolute_error 0.887341 relative_absolute_error 0.888377 relative_absolute_error 0.950838 relative_absolute_error 0.871727 relative_absolute_error 0.864854 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211835 root_mean_prior_squared_error 0.212094 root_mean_prior_squared_error 0.211863 root_mean_prior_squared_error 0.212074 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211932 root_mean_prior_squared_error 0.211873 root_mean_prior_squared_error 0.211798 root_mean_prior_squared_error 0.212038 root_mean_prior_squared_error 0.21169 root_mean_prior_squared_error 0.211915 root_mean_prior_squared_error 0.212004 root_mean_prior_squared_error 0.211587 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.21191 root_mean_prior_squared_error 0.211977 root_mean_prior_squared_error 0.211855 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.211927 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211837 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211925 root_mean_prior_squared_error 0.211891 root_mean_prior_squared_error 0.211992 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211829 root_mean_prior_squared_error 0.211815 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.21185 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.211926 root_mean_prior_squared_error 0.211923 root_mean_prior_squared_error 0.211988 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212113 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.2119 root_mean_prior_squared_error 0.211909 root_mean_prior_squared_error 0.211941 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.211931 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212066 root_mean_prior_squared_error 0.211813 root_mean_prior_squared_error 0.211983 root_mean_prior_squared_error 0.211861 root_mean_prior_squared_error 0.211884 root_mean_prior_squared_error 0.212065 root_mean_prior_squared_error 0.21189 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.212034 root_mean_prior_squared_error 0.212031 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.212062 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212021 root_mean_prior_squared_error 0.211955 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211893 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.211919 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211832 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212046 root_mean_prior_squared_error 0.212109 root_mean_prior_squared_error 0.212169 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.21218 root_mean_prior_squared_error 0.21207 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212149 root_mean_prior_squared_error 0.211999 root_mean_prior_squared_error 0.21186 root_mean_prior_squared_error 0.21206 root_mean_prior_squared_error 0.211763 root_mean_prior_squared_error 0.212175 root_mean_squared_error 0.197425 root_mean_squared_error 0.201969 root_mean_squared_error 0.198534 root_mean_squared_error 0.199086 root_mean_squared_error 0.197717 root_mean_squared_error 0.19931 root_mean_squared_error 0.198606 root_mean_squared_error 0.199333 root_mean_squared_error 0.19667 root_mean_squared_error 0.196357 root_mean_squared_error 0.197715 root_mean_squared_error 0.199266 root_mean_squared_error 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